VoxelNet [1]} computes PointNet [2]} style features from the LiDAR points for each 3D voxel. Afterwards, they run 3D convolutions over these voxels to produce detections. Instead of voxelizing the input, our approach operates directly on the raw range data and aggregates predictions from LiDAR points through mean shift clustering to generate the detections.
